Neuro-adaptive process control a practical approach
Using a series of rigorous authentic examples, the authors demonstrate several simple yet practical techniques for utilizing adaptive neural networks to produce more efficient process control. Their in-depth description of implementation issues offers a wealth of pragmatic wisdom.
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| Other Authors: | , |
| Format: | Book |
| Language: | English |
| Published: |
Chichester New York
John Wiley & Sons
1996
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Table of Contents:
- 1. Introduction
- 2. Background
- 3. History-stack adaptation and identification
- 4. Reinforcement learning control
- 5. Adaptive neural model control
- 6. Practical aspects and demonstration
- 7. The final word
- Appendix A. NeuroLib neural-network software library
- Appendix B. DynSim control simulation software.